Qwen: Qwen3 235B A22B Instruct 2507 FP8 Throughput

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Qwen3 235B A22B Instruct 2507 FP8 Throughput is a multilingual mixture-of-experts model from Alibaba's Qwen team, with 235B total parameters and 22B active per token. This non-thinking, instruction-tuned variant is tuned for fast, direct responses across reasoning, math, coding, and general knowledge.

It posts strong published benchmarks, including 77.5% on GPQA, 70.3% on AIME25, 51.8% on LiveCodeBench v6, and 79.2% on Arena-Hard v2, with results that rival or exceed peers like GPT-4o and DeepSeek-V3 on math and coding tasks.

With a 256K-token context window and solid tool-calling support, it's a strong, cost-effective pick for developers building agentic, long-context, and multilingual applications.

Context Window 262K

tokens

Max Output 262K

tokens

Input Cost $0.2

per million tokens

Output Cost $0.6

per million tokens

Input text

modalities

Tool Use Yes

Release Date Jul 22, 2025

Code Example

Add AI to your app with the Puter.js AI API, no API keys or setup required.

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms").then(response => {
    document.body.innerHTML = response.message.content;
});

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

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Frequently Asked Questions

How do I use Qwen3 235B A22B Instruct 2507 FP8 Throughput?

Qwen3 235B A22B Instruct 2507 FP8 Throughput is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for Qwen3 235B A22B Instruct 2507 FP8 Throughput?

Qwen3 235B A22B Instruct 2507 FP8 Throughput costs $0.2 per 1M input tokens and $0.6 per 1M output tokens.

	Price per 1M tokens
Input	$0.2
Output	$0.6

Who created Qwen3 235B A22B Instruct 2507 FP8 Throughput?

Qwen3 235B A22B Instruct 2507 FP8 Throughput was created by Qwen and released on Jul 22, 2025.

What is the context window of Qwen3 235B A22B Instruct 2507 FP8 Throughput?

Qwen3 235B A22B Instruct 2507 FP8 Throughput supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.

What is the max output length of Qwen3 235B A22B Instruct 2507 FP8 Throughput?

Qwen3 235B A22B Instruct 2507 FP8 Throughput can generate up to 262K tokens in a single response.

What types of input can Qwen3 235B A22B Instruct 2507 FP8 Throughput process?

Qwen3 235B A22B Instruct 2507 FP8 Throughput accepts the following input types: text. It produces: text.

Does Qwen3 235B A22B Instruct 2507 FP8 Throughput support tool use (function calling)?

Yes, Qwen3 235B A22B Instruct 2507 FP8 Throughput supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Qwen3 235B A22B Instruct 2507 FP8 Throughput API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

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